candy_2017 %>%
get_dupes()
No variable names specified - using all columns.
No duplicate combinations found of: Internal ID, Q1: GOING OUT?, Q2: GENDER, Q3: AGE, Q4: COUNTRY, Q5: STATE, PROVINCE, COUNTY, ETC, Q6 | 100 Grand Bar, Q6 | Anonymous brown globs that come in black and orange wrappers (a.k.a. Mary Janes), Q6 | Any full-sized candy bar, ... and 111 other variables
# did not use these
candy_2015 <- candy_2015 %>%
clean_names() %>%
rename(age = "how_old_are_you",
trick_or_treating = "are_you_going_actually_going_trick_or_treating_yourself",
brown_globs = "anonymous_brown_globs_that_come_in_black_and_orange_wrappers",
intravenous_corn_syrup = "vials_of_pure_high_fructose_corn_syrup_for_main_lining_into_your_vein",
restaurant_candy = "candy_that_is_clearly_just_the_stuff_given_out_for_free_at_restaurants",
legal_tender = "cash_or_other_forms_of_legal_tender",
chick_o_sticks = "chick_o_sticks_we_don_t_know_what_that_is")
candy_2016 <- candy_2016 %>%
clean_names() %>%
rename(age = "how_old_are_you",
gender = "your_gender",
trick_or_treating = "are_you_going_actually_going_trick_or_treating_yourself",
country = "which_country_do_you_live_in",
state = "which_state_province_county_do_you_live_in",
intravenous_corn_syrup = "vials_of_pure_high_fructose_corn_syrup_for_main_lining_into_your_vein",
restaurant_candy = "candy_that_is_clearly_just_the_stuff_given_out_for_free_at_restaurants",
legal_tender = "cash_or_other_forms_of_legal_tender",
chick_o_sticks = "chick_o_sticks_we_don_t_know_what_that_is")
candy_2016 <- candy_2016 %>%
rename(
brown_globes = "anonymous_brown_globs_that_come_in_black_and_orange_wrappers"
)
candy_2017 <- candy_2017 %>%
clean_names()
data_input %>%
clean_names() %>%
remove_empty(which = c("rows", "cols"))
Error in clean_names(.) : object 'data_input' not found
candy_2015 <- clean_tables(candy_2015)
candy_2016 <- clean_tables(candy_2016)
candy_2017 <- clean_tables(candy_2017)
compare_df_cols(candy_2015, candy_2016, return = "match", bind_method = "bind_rows")
names(combined_candy)
[1] "timestamp"
[2] "age"
[3] "going_out"
[4] "butterfinger"
[5] "x100_grand_bar"
[6] "brown_globs"
[7] "any_full_sized_candy_bar"
[8] "black_jacks"
[9] "bonkers"
[10] "bottle_caps"
[11] "boxo_raisins"
[12] "brach_products_not_including_candy_corn"
[13] "bubble_gum"
[14] "cadbury_creme_eggs"
[15] "candy_corn"
[16] "vials_of_pure_high_fructose_corn_syrup_for_main_lining_into_your_vein"
[17] "candy_that_is_clearly_just_the_stuff_given_out_for_free_at_restaurants"
[18] "cash_or_other_forms_of_legal_tender"
[19] "chiclets"
[20] "caramellos"
[21] "snickers"
[22] "hersheys_dark_chocolate"
[23] "dental_paraphenalia"
[24] "dots"
[25] "fuzzy_peaches"
[26] "generic_brand_acetaminophen"
[27] "glow_sticks"
[28] "broken_glow_stick"
[29] "goo_goo_clusters"
[30] "good_n_plenty"
[31] "gum_from_baseball_cards"
[32] "gummy_bears_straight_up"
[33] "creepy_religious_comics_chick_tracts"
[34] "healthy_fruit"
[35] "heath_bar"
[36] "hersheys_kisses"
[37] "hershey_s_milk_chocolate"
[38] "hugs_actual_physical_hugs"
[39] "jolly_rancher_bad_flavor"
[40] "jolly_ranchers_good_flavor"
[41] "kale_smoothie"
[42] "kinder_happy_hippo"
[43] "kit_kat"
[44] "hard_candy"
[45] "lapel_pins"
[46] "lemon_heads"
[47] "licorice"
[48] "licorice_not_black"
[49] "lindt_truffle"
[50] "lollipops"
[51] "mars"
[52] "mary_janes"
[53] "maynards"
[54] "milk_duds"
[55] "laffy_taffy"
[56] "minibags_of_chips"
[57] "joy_joy_mit_iodine"
[58] "reggie_jackson_bar"
[59] "pixy_stix"
[60] "nerds"
[61] "nestle_crunch"
[62] "nown_laters"
[63] "pencils"
[64] "milky_way"
[65] "reese_s_peanut_butter_cups"
[66] "tolberone_something_or_other"
[67] "runts"
[68] "junior_mints"
[69] "senior_mints"
[70] "mint_kisses"
[71] "mint_juleps"
[72] "mint_leaves"
[73] "peanut_m_m_s"
[74] "regular_m_ms"
[75] "mint_m_ms"
[76] "ribbon_candy"
[77] "rolos"
[78] "skittles"
[79] "smarties_american"
[80] "smarties_commonwealth"
[81] "chick_o_sticks_we_don_t_know_what_that_is"
[82] "spotted_dick"
[83] "starburst"
[84] "swedish_fish"
[85] "sweetums"
[86] "those_odd_marshmallow_circus_peanut_things"
[87] "three_musketeers"
[88] "peterson_brand_sidewalk_chalk"
[89] "peanut_butter_bars"
[90] "peanut_butter_jars"
[91] "trail_mix"
[92] "twix"
[93] "vicodin"
[94] "white_bread"
[95] "whole_wheat_anything"
[96] "york_peppermint_patties"
[97] "please_leave_any_remarks_or_comments_regarding_your_choices"
[98] "please_list_any_items_not_included_above_that_give_you_joy"
[99] "please_list_any_items_not_included_above_that_give_you_despair"
[100] "guess_the_number_of_mints_in_my_hand"
[101] "betty_or_veronica"
[102] "check_all_that_apply_i_cried_tears_of_sadness_at_the_end_of"
[103] "dress"
[104] "what_is_your_favourite_font"
[105] "if_you_squint_really_hard_the_words_intelligent_design_would_look_like"
[106] "fill_in_the_blank_imitation_is_a_form_of"
[107] "please_estimate_the_degree_s_of_separation_you_have_from_the_following_celebrities_jk_rowling"
[108] "please_estimate_the_degree_s_of_separation_you_have_from_the_following_celebrities_jj_abrams"
[109] "please_estimate_the_degree_s_of_separation_you_have_from_the_following_celebrities_beyonce"
[110] "please_estimate_the_degree_s_of_separation_you_have_from_the_following_celebrities_bieber"
[111] "please_estimate_the_degree_s_of_separation_you_have_from_the_following_celebrities_kevin_bacon"
[112] "please_estimate_the_degree_s_of_separation_you_have_from_the_following_celebrities_francis_bacon_1561_1626"
[113] "sea_salt_flavored_stuff_probably_chocolate_since_this_is_the_it_flavor_of_the_year"
[114] "necco_wafers"
[115] "day"
[116] "gender"
[117] "country"
[118] "which_state_province_county_do_you_live_in"
[119] "bonkers_the_board_game"
[120] "chardonnay"
[121] "coffee_crisp"
[122] "dove_bars"
[123] "licorice_yes_black"
[124] "mike_and_ike"
[125] "blue_m_ms"
[126] "red_m_ms"
[127] "third_party_m_ms"
[128] "mr_goodbar"
[129] "peeps"
[130] "person_of_interest_season_3_dvd_box_set_not_including_disc_4_with_hilarious_outtakes"
[131] "reeses_pieces"
[132] "sourpatch_kids_i_e_abominations_of_nature"
[133] "sweet_tarts"
[134] "sweetums_a_friend_to_diabetes"
[135] "tic_tacs"
[136] "whatchamacallit_bars"
[137] "please_leave_any_witty_snarky_or_thoughtful_remarks_or_comments_regarding_your_choices"
[138] "do_you_eat_apples_the_correct_way_east_to_west_side_to_side_or_do_you_eat_them_like_a_freak_of_nature_south_to_north_bottom_to_top"
[139] "when_you_see_the_above_image_of_the_4_different_websites_which_one_would_you_most_likely_check_out_please_be_honest"
[140] "internal_id"
[141] "state"
[142] "green_party_m_ms"
[143] "independent_m_ms"
[144] "abstained_from_m_ming"
[145] "real_housewives_of_orange_county_season_9_blue_ray"
[146] "sandwich_sized_bags_filled_with_boo_berry_crunch"
[147] "take_5"
[148] "joy_other"
[149] "despair_other"
[150] "other_comments"
[151] "x114"
[152] "media_daily_dish"
[153] "media_science"
[154] "media_espn"
[155] "media_yahoo"
[156] "click_coordinates_x_y"
axe all the rows that are not about candy - would give an accurate
count of candy ratings
names(combined_candy)
specific_candy_data <- select(combined_candy, -18, -33, -38, -41, -45, -56, -63,
-88, -93:-95, -97:-112, -119, -130, -137:-139,
-145, -148:-156)
names(specific_candy_data)
## bring all non-candy data to beginning
specific_candy_data <- specific_candy_data %>%
select(timestamp:going_out, day:which_state_province_county_do_you_live_in,
internal_id:state, everything())
## change the values of internal_id and timestamp to just the year
specific_candy_data <- specific_candy_data %>%
mutate(timestamp = as.character(timestamp)) %>%
mutate(timestamp = if_else(str_detect(timestamp, "2015-+"), "2015", "2016"))
# not sure I need this?
specific_candy_data %>%
rename(year = "timestamp")
specific_candy_data <- specific_candy_data %>%
mutate(internal_id = as.character(internal_id))
specific_candy_data <- specific_candy_data %>%
mutate(internal_id = if_else(str_detect(internal_id, "90+"), "2017", "NO YEAR"))
## merge timestamp and internal_id to create a year column
specific_candy_data <- specific_candy_data %>%
unite("year", timestamp, internal_id, na.rm = TRUE) %>%
mutate(year = na_if(year, ""))
## dont think i need this bit now
mutate(year = recode(year, "2015_NA" = "2015", "2016_NA" = "2016", "2017_NA" = "2017"))
#### NEED TO FIX year to not include NA_2017 ####
## merge state with which state...
specific_candy_data <- specific_candy_data %>%
unite("state_county", state, which_state_province_county_do_you_live_in, na.rm = TRUE) %>%
mutate(state_county = na_if(state_county, ""))
specific_candy_data
count all sweet ratings/reviews
- do this by summarise across the columns you want.
---
title: "R Notebook"
output: html_notebook
---

```{r}

library(tidyverse)
library(janitor)
library(stringr)


names(candy_2015)
names(candy_2016)
names(candy_2017)


view(candy_2015)
view(candy_2016)
view(candy_2017)

candy_2015 %>% 
  get_dupes()

candy_2016 %>% 
  get_dupes()

candy_2017 %>% 
  get_dupes()



```

```{r}

# did not use these

candy_2015 <- candy_2015 %>% 
  clean_names() %>% 
  rename(age = "how_old_are_you",
         trick_or_treating = "are_you_going_actually_going_trick_or_treating_yourself",
         brown_globs = "anonymous_brown_globs_that_come_in_black_and_orange_wrappers",
         intravenous_corn_syrup = "vials_of_pure_high_fructose_corn_syrup_for_main_lining_into_your_vein",
         restaurant_candy = "candy_that_is_clearly_just_the_stuff_given_out_for_free_at_restaurants",
         legal_tender = "cash_or_other_forms_of_legal_tender",
         chick_o_sticks = "chick_o_sticks_we_don_t_know_what_that_is")

candy_2016 <- candy_2016 %>% 
  clean_names() %>% 
  rename(age = "how_old_are_you",
         gender = "your_gender",
         trick_or_treating = "are_you_going_actually_going_trick_or_treating_yourself",
         country = "which_country_do_you_live_in",
         state = "which_state_province_county_do_you_live_in",
         intravenous_corn_syrup = "vials_of_pure_high_fructose_corn_syrup_for_main_lining_into_your_vein",
         restaurant_candy = "candy_that_is_clearly_just_the_stuff_given_out_for_free_at_restaurants",
         legal_tender = "cash_or_other_forms_of_legal_tender",
         chick_o_sticks = "chick_o_sticks_we_don_t_know_what_that_is")

candy_2016 <- candy_2016 %>% 
   rename(
     brown_globes = "anonymous_brown_globs_that_come_in_black_and_orange_wrappers"
     )

candy_2017 <- candy_2017 %>% 
  clean_names()

```


```{r}

clean_tables <- function(data_input){
  data_input %>% 
    clean_names() %>%
    remove_empty(which = c("rows", "cols"))
}
```

```{r}

candy_2015 <- clean_tables(candy_2015)
candy_2016 <- clean_tables(candy_2016)
candy_2017 <- clean_tables(candy_2017)
```

```{r}
view(candy_2015)
view(candy_2016)
view(candy_2017)

## include this with the other 2017 cleaning

pattern <- "q+[0-9]+_"

candy_2017 <- candy_2017 %>% 
  clean_names() %>% 
  rename_with(~ gsub(pattern, "", .x)) %>% 
  rename(x100_grand_bar = "100_grand_bar", 
         state = "state_province_county_etc",
         )

view(candy_2015)
view(candy_2016)
view(candy_2017)

```

```{r}
compare_df_cols(candy_2015, candy_2016, return = "match", bind_method = "bind_rows")
```

```{r}
change_names <- function(data_input){
  data_input %>% 
    rename(going_out = "are_you_going_actually_going_trick_or_treating_yourself",
           age = "how_old_are_you",
           brown_globs = "anonymous_brown_globs_that_come_in_black_and_orange_wrappers",
           )
}

candy_2015 <- change_names(candy_2015)
candy_2016 <- change_names(candy_2016)

candy_2016 <- candy_2016 %>% 
  rename(bonkers = "bonkers_the_candy"
         )

candy_2015 <- candy_2015 %>% 
  rename(boxo_raisins = "box_o_raisins",
         hersheys_dark_chocolate = "dark_chocolate_hershey",
         )

candy_2015 <- candy_2015 %>% 
  rename(hersheys_kisses = "hershey_s_kissables")

## dont need these two as theyre not candy so get discarded anyway

candy_2016 <- candy_2016 %>% 
  rename(dress = "that_dress_that_went_viral_a_few_years_back_when_i_first_saw_it_it_was")

candy_2015 <- candy_2015 %>% 
  rename(dress = "that_dress_that_went_viral_early_this_year_when_i_first_saw_it_it_was")



```

```{r}

data_2015_2016 <- bind_rows(candy_2015, candy_2016)
```

```{r}
view(data_2015_2016)

compare_df_cols(data_2015_2016, candy_2017, return = "mismatch", bind_method = "rbind")
```

```{r}
candy_2017 <- candy_2017 %>% 
  rename(
    brown_globs = "anonymous_brown_globs_that_come_in_black_and_orange_wrappers_a_k_a_mary_janes",
    bonkers = "bonkers_the_candy"
  )

data_2015_2016 <- data_2015_2016 %>% 
  rename(
    country = "which_country_do_you_live_in",
    day = "which_day_do_you_prefer_friday_or_sunday",
    gender = "your_gender"
  )
```

```{r}
combined_candy <- bind_rows(data_2015_2016, candy_2017)

names(combined_candy)
view(combined_candy)
```

## axe all the rows that are not about candy - would give an accurate count of candy ratings

```{r}
names(combined_candy)

specific_candy_data <- select(combined_candy, -18, -33, -38, -41, -45, -56, -63,
                              -88, -93:-95, -97:-112, -119, -130, -137:-139,
                              -145, -148:-156)

names(specific_candy_data)

## bring all non-candy data to beginning

specific_candy_data <- specific_candy_data %>% 
  select(timestamp:going_out, day:which_state_province_county_do_you_live_in,
         internal_id:state, everything())

## change the values of internal_id and timestamp to just the year


specific_candy_data <- specific_candy_data %>% 
  mutate(timestamp = as.character(timestamp)) %>% 
  mutate(timestamp = if_else(str_detect(timestamp, "2015-+"), "2015", "2016"))

# not sure I need this? 
specific_candy_data %>% 
  rename(year = "timestamp")

specific_candy_data <- specific_candy_data %>% 
  mutate(internal_id = as.character(internal_id)) 

specific_candy_data <- specific_candy_data %>% 
  mutate(internal_id = if_else(str_detect(internal_id, "90+"), "2017", "NO YEAR"))



## merge timestamp and internal_id to create a year column

specific_candy_data <-  specific_candy_data %>% 
  unite("year", timestamp, internal_id, na.rm = TRUE) %>%
  mutate(year = na_if(year, ""))
## dont think i need this bit now
  mutate(year = recode(year, "2015_NA" = "2015", "2016_NA" = "2016", "2017_NA" = "2017"))

#### NEED TO FIX year to not include NA_2017 ####

## merge state with which state... 

specific_candy_data <-  specific_candy_data %>% 
  unite("state_county", state, which_state_province_county_do_you_live_in, na.rm = TRUE) %>% 
  mutate(state_county = na_if(state_county, ""))

specific_candy_data
```


## clean the age column


```{r}
specific_candy_data <- specific_candy_data %>% 
  mutate(age = str_replace_all(age, "\\.[0-9][a-zA-Z][0-9]", ""),
         age = str_replace_all(age, "[A-Za-z]+[A-Za-z]", ""),
         age = str_replace_all(age, "[:punct:][0-9]", ""),
         # deleted this - dont think I need it if I put a ? in front of [0-9] above
         age = str_replace_all(age, "[:punct:]", ""),
         age = str_replace_all(age, "...", ""),
         # removed this - dont think it does anything... 
         age = str_replace_all(age, "[a-z-A-Z]", ""),
         age = na_if(age, "0"))


# cleaned country data

final_candy <- specific_candy_data %>% 
   mutate(country = str_replace_all(country, "[:punct:]", ""),
         country = str_replace_all(country, "[0-9]+", ""),
         country = str_replace_all(country, "[uU][sS][aA]? *[aA-zZ]?", "USA"),
         country = str_replace_all(country, "[uU][nN]i?t?ed?s? [sS]t?a?t?e?s?", "USA"),
         country = if_else(str_detect(country, "^[uU][sS][aA]"), "USA", country),
         country = if_else(str_detect(country, "[uU][sS][aA]$"), "USA", country),
         country = str_replace_all(country, "[cC][aA][nN][aA]?[dD]?[aA]?[eE]?+`?", "Canada"),
         country = str_replace_all(country, "[uU][nN][iI][tT][eE][dD] +[kK][iI][nN][gG]?[dD][oO][mM]",
                                   "UK"),
         country = str_replace_all(country, "[eE]nd?g?land", "UK"),
         country = str_replace_all(country, "[uU][kK]", "UK"),
         country = recode(country, 
                          "Murica" = "USA", 
                          "USA USA" = "USA",
                          "The Yoo Ess of Aaayyyyyy" = "USA", 
                          "USA of America" = "USA", 
                          "USAA" = "USA", 
                          "USASA USA" = "USA", 
                          "the best one USA" = "USA",
                          "USA think but its an election year so who can really tell" = "USA",
                          "America" = "USA", 
                          "Units States" = "USA", 
                          "USASA" = "USA", 
                          "SubCanadian North America Merica" = "USA",
                          "Merica" = "USA", 
                          "Trumpistan" = "USA", 
                          "USAtes" = "USA",
                          "america" = "USA", 
                          "USASA USASA" = "USA",
                          "United States of America" = "USA",
                          "The USA of America" = "USA", 
                          "unhinged states" = "USA",
                          "U S" = "USA", 
                          "North Carolina" = "USA", 
                          "Pittsburgh" = "USA",
                          "New York" = "USA", 
                          "California" = "USA", 
                          "New Jersey" = "USA", 
                          "Alaska" = "USA", 
                          "u s a" = "USA",
                          "AhemAmerca" = "USA",
                          "SubCanadaian North America Merica" = "USA",
                          "Not the USAr Canada" = "Canada",
                          "Scotland" = "UK",
                          "murrika" = "USA"),
         country = if_else(country == c("USA", "UK", "Canada"), country, "Other")
         )

final_candy

```


## clean the country column

```{r}
specific_candy_data %>% 
  distinct(country)
```



## count all sweet ratings/reviews

- do this by summarise across the columns you want. 